Prediction markets in Gen Z economy
Gen Z degen economy
Prediction markets matter because they turn the same behavioral loop that built fantasy sports and live shopping into a more liquid, more frequent product that looks enough like trading to spread faster. The pattern is simple. Younger users start with a fun, repeatable mechanic, paid fantasy entries, spinning up a Whatnot stream, buying loot boxes, then platforms push them toward higher frequency and higher spend formats. Prediction markets fit that ladder well because contracts resolve fast, capital can be reused the same day, and the app feels closer to Robinhood than a casino cage.
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DraftKings and FanDuel showed the playbook. They used daily fantasy as a cheap top of funnel, then converted those users into sportsbooks after PASPA fell in 2018. Fantasy had far lower acquisition cost, sports betting had much higher lifetime value, and the combined business scaled from about $520M in 2018 revenue to roughly $11B by 2024.
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Whatnot shows the same design logic outside gambling. Users watch fast moving live auctions for cards, sneakers, and collectibles, buy repeatedly, and sellers pay commissions plus ad spend to boost streams. In 2024, shoppers bought often enough for Whatnot to reach about $3B in GMV and $359M in revenue.
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Prediction markets compress the loop even further. Kalshi charges about a 1% effective fee versus sportsbooks taking a 4% to 5% hold, and sports contracts resolve in hours rather than waiting months for an election. That makes the product feel less like making one bet and more like continuous tapping, checking, and re entering.
The next phase is convergence. The winners will be the apps that own a young user early with entertainment, then keep moving that user into denser money loops, from fantasy to sportsbook, from livestream shopping to boosted bidding, and from prediction markets into a broader trading wallet. That is why sportsbooks, brokerages, and crypto exchanges are all circling the same product surface.